Vertebral Mobility Analysis Using Anterior Faces Detection

Autor:	G. Rico, Mohammed Benjelloun, Saïd Mahmoudi, R. Prévot
Rok vydání:	2007
Předmět:	Computer science Heuristic business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Real image Spinal column Hough transform law.invention law Convergence (routing) Canny edge detector Point (geometry) Computer vision Segmentation Artificial intelligence business
Zdroj:	Advanced Concepts for Intelligent Vision Systems ISBN: 9783540746065 ACIVS
DOI:	10.1007/978-3-540-74607-2_82
Popis:	In this article, we are interested in the X-rays images of the spinal column in various positions. The purpose of this work is to extract some parameters determining the vertebral mobility and its variation during flexion-extension movements. A modified Discrete Dynamic Contour Model (DDCM) using the Canny edge detector was the starting point for our segmentation algorithm. To address the lack of convergence due to open contour, we have elaborated a heuristic method appropriate to the area of our application. The results in real images cooresponding to the cervical spinal column and their comparison with manual measures are presented to demonstrate and to validate the proposed technique.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::eb25301bad602aafc53e4289f0090363 https://doi.org/10.1007/978-3-540-74607-2_82 Zobrazit plný text záznamu